Answer:
8000<x<80000
Step-by-step explanation:
a number(x) is greater than (<) 8000
and x is also less than(<) 80000
The probability that the sample mean would differ from the population mean by more than 1.8 millimeters is approximately 0.0668.
A standard deviation (σ) is a measure of the distribution of the data in reference to the mean.
The standard deviation of the population is millimeters. The standard error of the sample mean is then
millimeters.
The probability that the sample mean would differ from the population mean by more than 1.8 millimeters is the probability that it falls outside of the interval . We can use the standard normal distribution to approximate this probability.
First, we need to convert the difference between the sample mean and the population means to standard units.
The difference of 1.8 millimeters is :
standard units.
Then, we can use the standard normal distribution to find the probability that the sample mean falls outside of this interval.
This probability is equal to ,
where is the standard normal cumulative distribution function.
Therefore, the required probability is approximately 0.0668.
Learn more about the standard deviation here:
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Simplify your answer as much as possible.
After removing the parentheses using the distributiveproperty, the expression simplifies to
We have,
To remove the parentheses using the distributiveproperty, we need to multiply each term inside the parentheses by the term outside the parentheses.
Applying the distributiveproperty to the expression we have:
Multiplying the terms:
Therefore,
After removing the parentheses using the distributiveproperty, the expression simplifies to
Learn more about expressions here:
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6 threes where made and 3 twos where made
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